---
title: "Feature Engineering with Microsoft Fabric and PySpark"
url: https://daily.dev/posts/feature-engineering-with-microsoft-fabric-and-pyspark-dqojxku3o
source_url: https://towardsdatascience.com/feature-engineering-with-microsoft-fabric-and-pyspark-16d458018744
type: article
source: "Towards Data Science"
published: 2024-04-11T15:48:32.394Z
updated: 2024-05-09T09:21:59.549Z
tags: ["machine-learning", "data-engineering", "feature-engineering", "pyspark"]
reading_time: 12
upvotes: 0
comments: 0
language: en
---

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# Feature Engineering with Microsoft Fabric and PySpark

**[Towards Data Science](https://daily.dev/sources/tds)** · 12 min read · 0 upvotes · 0 comments

## Summary

This post explores feature engineering using Microsoft Fabric and PySpark. It covers the basics of PySpark, such as reading data, combining DataFrames, selecting columns, grouping data, joining DataFrames, and using functions. The post also discusses the Elo Ratings system and demonstrates how to calculate Elo ratings for teams.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/feature-engineering-with-microsoft-fabric-and-pyspark-16d458018744>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#data-engineering](https://daily.dev/tags/data-engineering), [#feature-engineering](https://daily.dev/tags/feature-engineering), [#pyspark](https://daily.dev/tags/pyspark)

[View this post on daily.dev](https://daily.dev/posts/feature-engineering-with-microsoft-fabric-and-pyspark-dqojxku3o)